class_docstr: A single RandAugment layer.
class_docstr_tok: ["A","single","RandAugment","layer","."]
code: def compute_output_shape(self, input_shape):
      return input_shape
  
file_path: keras-tuner/keras_tuner/applications/augment.py
imports: from keras_tuner.api_export import keras_tuner_export
  from keras_tuner.backend import keras
  from keras_tuner.backend import ops
  from keras_tuner.backend import random
  from keras_tuner.backend.keras import layers
  from keras_tuner.engine import hypermodel
label_desc: Use image node_id 3 for calling the RandAugment obj's underlying member method code with example usage: obj.compute_output_shape(input_shape) and returns: input_shape